Real-Time ECG and EMG Analysis for Biking Using Android-Based Mobile Devices

Beitrag bei einer Tagung
(Konferenzbeitrag)


Details zur Publikation

Autor(en): Richer R, Blank P, Schuldhaus D, Eskofier B
Titel Sammelwerk: Proceedings - 11th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2014
Jahr der Veröffentlichung: 2014
Tagungsband: 2014 IEEE 11th International Conference on Wearable and Implantable Body Sensor Networks (BSN)
Seitenbereich: 104-108
Sprache: Englisch


Abstract


We developed an application for Android-based mobile devices that enables a real-time calculation of heart rate and cadence for biking. Therefore, both ECG and EMG data are acquired in real time by Shimmer sensors and transmitted via Bluetooth, as well as processed and evaluated on the mobile device. The ECG algorithm is based on the Pan-Tompkins algorithm for QRS-Detection and offers a heart beat detection rate of more than 94%. The EMG algorithm offers a treadle detection rate of more than 91%. The application's range of features is complemented by GPS data for the calculation of speed and location information. It is available for download and can for example be used for controlling the user's training status, for live training supervision and for the subsequent analysis of the various training runs.



FAU-Autoren / FAU-Herausgeber

Blank, Peter
Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)
Eskofier, Björn Prof. Dr.
Schuldhaus, Dominik
Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)
Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)
Richer, Robert
Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)


Zitierweisen

APA:
Richer, R., Blank, P., Schuldhaus, D., & Eskofier, B. (2014). Real-Time ECG and EMG Analysis for Biking Using Android-Based Mobile Devices. In 2014 IEEE 11th International Conference on Wearable and Implantable Body Sensor Networks (BSN) (pp. 104-108). Zürich, CH.

MLA:
Richer, Robert, et al. "Real-Time ECG and EMG Analysis for Biking Using Android-Based Mobile Devices." Proceedings of the 2014 IEEE 11th International Conference on Wearable and Implantable Body Sensor Networks (BSN), Zürich 2014. 104-108.

BibTeX: 

Zuletzt aktualisiert 2018-09-08 um 23:24